Honeycomb: An open-source distributed system for smart buildings.

Tian Xing, Hu Yan, Kailai Sun, Yifan Wang, Xuetao Wang, Qianchuan Zhao
Author Information
  1. Tian Xing: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
  2. Hu Yan: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
  3. Kailai Sun: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
  4. Yifan Wang: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
  5. Xuetao Wang: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
  6. Qianchuan Zhao: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.

Abstract

Restricted by the hierarchical and centralized system architecture, smart buildings face challenges such as limited adaptability and robustness, single application functionalities, and complex configurations. To address the above shortcomings, we learn from the activity patterns of natural bee swarms and propose Honeycomb, an open-source smart-building solution with fully distributed architecture. Honeycomb is a robust, flexible smart-building solution without any central server or global leader. An asynchronous leaderless spanning tree-based communication pattern is developed to generate and maintain the communication topology of Honeycomb in real time. Benefiting from this communication pattern, Honeycomb has plug-and-play ability. Various distributed applications are designed for building operating tasks and are deployed in a real Honeycomb prototype. The prototype demonstrates significant energy efficiency improvement from the control of the heating, ventilation, and air conditioning (HVAC) system with video-based occupancy information. Feedback on our Honeycomb prototype through questionnaires of users shows high acceptance of the controlled indoor environment.

Keywords

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